[HTML][HTML] Summary of chatgpt-related research and perspective towards the future of large language models

Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li… - Meta-Radiology, 2023 - Elsevier
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …

[HTML][HTML] Review of large vision models and visual prompt engineering

J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai… - Meta-Radiology, 2023 - Elsevier
Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …

Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions

G Yenduri, M Ramalingam, GC Selvi, Y Supriya… - IEEE …, 2024 - ieeexplore.ieee.org
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …

Survey on factuality in large language models: Knowledge, retrieval and domain-specificity

C Wang, X Liu, Y Yue, X Tang, T Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

[HTML][HTML] Evaluating large language models on a highly-specialized topic, radiation oncology physics

J Holmes, Z Liu, L Zhang, Y Ding, TT Sio… - Frontiers in …, 2023 - frontiersin.org
Purpose We present the first study to investigate Large Language Models (LLMs) in
answering radiation oncology physics questions. Because popular exams like AP Physics …

[HTML][HTML] A survey of safety and trustworthiness of large language models through the lens of verification and validation

X Huang, W Ruan, W Huang, G Jin, Y Dong… - Artificial Intelligence …, 2024 - Springer
Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

Prompt engineering for healthcare: Methodologies and applications

J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …

[HTML][HTML] Differentiating ChatGPT-generated and human-written medical texts: quantitative study

W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang… - JMIR Medical …, 2023 - mededu.jmir.org
Background: Large language models, such as ChatGPT, are capable of generating
grammatically perfect and human-like text content, and a large number of ChatGPT …

[HTML][HTML] Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation

T McIntosh, T Liu, T Susnjak, H Alavizadeh, A Ng… - Computers & …, 2023 - Elsevier
This study investigated the potential of Generative Pre-trained Transformers (GPTs), a state-
of-the-art large language model, in generating cybersecurity policies to deter and mitigate …

Sora: A review on background, technology, limitations, and opportunities of large vision models

Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The
model is trained to generate videos of realistic or imaginative scenes from text instructions …